AutoFocus: AI-driven alignment of nanofocusing X-ray mirror systems
Luca Rebuffi, Saugat Kandel, Xianbo Shi, Runyu Zhang, Ross Harder, Wonsuk Cha, Matthew J. Highland, Matthew G. Frith, Lahsen Assoufid, Mathew J. Cherukara
Abstract
We describe the application of an AI-driven system to autonomously align complex x-ray-focusing mirror systems, including mirrors systems with variable focus spot sizes. The system has been developed and studied on a digital twin of nanofocusing X-ray beamlines, built using advanced optical simulation tools calibrated with wavefront sensing data collected at the beamline.We experimentally demonstrated that the system is reliably capable of positioning a focused beam on the sample, both by simulating the variation of a beamline with random perturbations due to typical changes in the light source and optical elements over time, and by conducting similar tests on an actual focusing mirror system.